Detection of saliva proteins modulated secondary to ductal carcinoma in situ of the breast

ABSTRACT

A method of differentiating among the presence of ductal carcinoma in situ in the breast, benign fibroadenoma of the breast, and non-cancerous breast tissue in a subject is disclosed. The method comprises: measuring the concentration of at least one protein biomarker selected from a group of forty-nine differentially expressed proteins in the saliva of persons with DCIS, or benign fibroadenoma, or in persons who are cancer-free. The resulting test data is compared to a reference panel. From the comparison the presence in the subject of either ductal carcinoma in situ of the breast, or benign fibroadenoma of the breast is determined.

BACKGROUND

1. Technical Field

The invention generally relates to methods and compositions fordiagnosing breast cancer, and, more particularly, to such methods andcompositions which use the differential expression of protein biomarkersin the saliva of an individual to differentiate among ductal carcinomain situ of the breast, benign fibroadenoma and non-cancerous tissue inthat individual.

2. Description of Related Art

Conventional physical examination and mammography are useful screeningprocedures for the early detection of breast cancer. However, they canproduce a substantial percentage of false positive and false negativeresults especially in women with dense parenchymal breast tissue.Consequently, screening results in a number of negative biopsy resultsyielding a high percentage of false positives. There is also ademonstrated lack of sensitivity in detecting cancerous lesions inyounger women yielding a significant percentage of false negatives.Although advanced technology in the field of mammography allows morereliable detection of small lesions of the breast, a clear need existsfor added modalities of screening, particularly for diagnosing cancer inyounger women.

There has been extensive use of immunohistochemistry to detectexpression of specific biomarkers as a potential adjunct diagnosticprocedure for certain tumors. Primarily, the markers have been found inserum and in tissues. Protein tumor markers such as c-erbB-2 (erb) andCathespin-D (CD) have been assayed in tissue and shown to correlate withaggressive lesions.

The term “proteomics” was originally defined to represent the analysisof the entire protein component of a cell or tissue, but that term nowencompasses the study of expressed proteins, including identificationand elucidation of the structure-function relationship under healthyconditions and disease conditions. In combination with genomics,proteomics can provide a holistic understanding of the biologyunderlying disease processes. Information at the level of the proteomeis critical for understanding the function of specific cell types andtheir role in health and disease (1, 2).

Protein expression and function are subject to modulation throughtranscription as well as through posttranscriptional and translationalevents. Multiple RNA species can result from one gene through a processof differential splicing. Additionally, there are more than 200post-translation modifications that proteins could undergo that affectfunction, protein-protein and nuclide-protein interaction, stability,targeting half-life, and so on (6), all contributing to a potentiallylarge number of protein products from one gene. Identifying andunderstanding these changes are the underlying themes in proteomics(6-9).

Technological advancements have benefited proteomic research to thepoint where saliva is now being assayed for protein content using thelatest available proteomic technology (10). There is a paucity ofinformation regarding the salivary proteome and its constituents in thepresence of disease such as carcinoma. One inventor's previous studiesusing immunological techniques have demonstrated that saliva from breastcancer patients exhibited elevated levels of c-erbB-2, CA 15-3, EGFR,cathepsin D and p53, suggesting that there is communication between thebreast tumor and the salivary gland (11, 12). In single analyte reports,additional low-abundance proteins such as HER2/neu, Waf-1, pantropicp53, EGFR and cathepsin D were found to be altered (12). Recently, thetumor biomarkers CA 125, c-erB-2 (erb) and Cathespin-D (CD) have beendetected in saliva and employed in a diagnostic panel for the initialdetection and follow-up screening of breast cancer patients. There iscontinuing interest in the development of adjunct diagnostic proceduresto enhance breast cancer screening.

BRIEF SUMMARY

In accordance with certain embodiments of the invention, a method ofdiagnosing the likelihood of the presence or occurrence of breast tumorin a test subject is provided. The method comprises (a) measuring in asaliva sample from the test subject the concentration of at least afirst protein biomarker, wherein each biomarker is known to bedifferentially expressed in breast tumor and tumor-free breast tissue,wherein the breast tumor comprises benign fibroadenoma or ductalcarcinoma in situ of the breast (DCIS), to provide a set of test datacomprising a concentration value of each said protein biomarker in thesaliva sample. The term “concentration value” may be a quantitativeamount or any other appropriate indication of a concentration, such as,for example, a colorimetric indicator score (e.g., +/−). The methodfurther includes (b) comparing the test values to a reference panelcomprising (1) a mean concentration value of each said protein in salivafrom a group of breast tumor-free individuals (reference control group),(2) a mean concentration value of each said protein in saliva from agroup of individuals with DCIS (reference DCIS group), or from a groupof individuals with benign fibroadenoma of the breast (reference benigngroup), or from both the DCIS group and the benign group; and (c)determining from that comparison a diagnosis of likelihood of thepresence or occurrence of a breast tumor in the test subject. In someembodiments the mean concentration ranges include a tolerance range orstatistical error range.

In some embodiments, in (a), at least the first biomarker is known to bedifferentially expressed among benign fibroadenoma, DCIS and tumor-freebreast tissue; in (b), step (2) comprises: (2′) a mean concentrationvalue of each said protein in saliva from the reference DCIS group, and(2″) a mean concentration value of each said protein in saliva from thebenign group in the reference panel, and in (c), the previouslydescribed step of “determining” comprises determining from thecomparison a diagnosis of likelihood of the presence or occurrence ofeither DCIS or fibroadenoma of the breast in the test subject.

In some embodiments, the concentration value of at least the firstprotein biomarker in the reference panel is significantly different inthe saliva of the DCIS group in the reference panel and/or in the salivaof the benign group in the reference panel, relative to the respectivelevel of each said protein biomarker in the saliva of the control groupin the reference panel. In certain embodiments, the concentration valuedifference of at least the first protein biomarker is significant at alevel in the range of p<0.05 to p<0.0001. In some embodiments, theconcentration value difference of the first protein biomarker issignificant at a level in the range of p<0.001 to p<0001.

In some embodiments, at least the first protein biomarker is selectedfrom the group consisting of CAH6, K2C4, CYTA, FABP4, IGHGI, TRFL,BPIL1, CYTC, HPT, PROF1 and ZA2G, and, in (c), the above mentioned stepof “determining” comprises determining from the comparison a diagnosisof likelihood of the presence or occurrence of DCIS in the test subject.

In some embodiments, at least the first protein biomarker is selectedfrom the group consisting of ENOA, IGHA2, IL-1 ra, S10A7, SPLC2, and, in(c), the “determining” step comprises determining from the comparison adiagnosis of likelihood of the presence or occurrence of fibroadenoma inthe test subject.

In some embodiments, the reference panel is prepared by analyzingsalivary proteins by isotopic labeling and liquid chromatography tandemmass spectrometry to characterize salivary proteins from each saidgroup, and determining from the above-mentioned analysis thedifferential concentrations of the protein biomarkers in individualswith ductal carcinoma in situ of the breast, in individuals with benignfibroadenoma of the breast, and in individuals free of both ductalcarcinoma in situ and benign fibroadenoma.

In some embodiments, in step (a), “measuring” comprises analyzing thesalivary protein-containing sample by isotopic labeling and liquidchromatography tandem mass spectrometry to characterize the proteinbiomarkers. In some embodiments, the isotopic labeling comprisesdifferential isotopic labeling of salivary proteins of at least firstand second saliva samples.

In some embodiments, in step (b), the “comparing” step yields acomparison result in which the concentration value of at least a firstprotein biomarker is a greater than 50% change relative to the meanconcentration value of the respective protein in the control group ofthe reference panel.

In some embodiments, a first saliva sample is obtained from the testsubject, and, in (a), the set of test data is a first set of test data.In this case, the method further comprises: (d) obtaining a secondsaliva sample from the test subject subsequent to the first salivasample; (e) measuring the concentration of at least the first proteinbiomarker in the second saliva sample, to provide a second set of testdata comprising a second concentration value of each protein biomarkerin the saliva sample; (f) comparing the second set of test data to thereference panel; and (g) determining from the result of that comparisona diagnosis of likelihood of the presence or occurrence of either DCISor benign fibroadenoma of the breast in the test subject.

In some embodiments, the method further includes (h) comparing thesecond set of test data to the first set of test data to determinewhether a difference in the concentration value of at least the firstprotein biomarker exists between the first and second sets of test datafor the test subject. In some embodiments, the first saliva sample isobtained prior to surgical removal of cancerous breast tissue from thesubject. In certain embodiments, the test subject has receivedtherapeutic treatment for breast cancer (e.g., chemotherapy) prior toobtaining the second saliva sample, and in some cases, determining acomparative decrease in at least the first protein biomarkerconcentration in the second sample relative to the first sampleindicates that the treatment regimen is effective.

The potential diagnostic benefits arising from embodiments of theinvention include the overall management of breast cancer in women. Thediagnosis of breast cancer at an earlier stage allows a woman morechoice in selection of various treatment options. A saliva based testwould be potentially useful in the postoperative management of cancerpatients. In some embodiments of the above described methods, followingtumor removal, a decrease in marker concentration will follow andeventually plateau to within a normal level indicating that the patientis free of disease. In contrast, a persistently high level of salivarymarkers will be indicative of tumor recurrence or persistence. In someembodiments, saliva is potentially a cost effective method formonitoring the effectiveness of chemotherapy, in which decreases inmarker concentrations are observed if the treatment regimen iseffective. These and other embodiments, features and potentialadvantages will become apparent with reference to the followingdescription and drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a set of Venn diagrams showing overlapping proteins betweenthree groups of women, in accordance with an exemplary set of dataillustrating an embodiment of the invention.

FIG. 2 is a chart showing the percentages of the 130 proteins from FIG.1 that correspond to respective functions.

FIG. 3 is a chart showing the differential protein expression in cancersaliva (darker bars) or benign saliva (lighter bars) versus normalcontrol represented by the 0 position.

FIG. 4 is a chart showing the differential protein expression in cancersaliva (bars) versus benign saliva represented by the 0 position.

DEFINITIONS

In the following discussion and in the claims, the terms “comprising,”“including” and “containing” are used in an open-ended fashion, and thusshould be interpreted to mean “including, but not limited to . . . ”.

The singular forms “a,” “an,” and “the” include plural referents unlessthe context clearly dictates otherwise.

The term “about,” when used in the context of a numerical value, meansapproximately or reasonably close to the given number, and generallyincludes, but is not limited to, ±10% of the stated number.

The term “secondary to carcinoma of the breast,” when referring to oneor more up-regulated or down-regulated proteins, means resulting frommetabolic or regulatory effects on the other tissues, fluids orstructures due to carcinoma of the breast.

The term “salivary proteome” refers to the complement of proteins andpeptides expressed in the saliva of a subject at a particular time andunder given conditions.

The term “concentration value” refers to a quantitative amount or anyother appropriate indication of a concentration, such as, for example, acolorimetric indicator score (e.g., +/−).

DETAILED DESCRIPTION

It was investigated in the present studies whether protein-by-productssecondary to cancer related oncogenes that are over or under expressedappear in the saliva of breast cancer patients. It is proposed thatsaliva is a fluid suffused with solubilized protein by-products ofoncogenic expression and these proteins are modulated secondary toductal carcinoma in situ (DCIS) of the breast. Additionally, there aresalivary protein profiles that are unique to both DCIS and fibroadenomatumors. Such differences between DCIS and fibroadenoma are potentiallyvaluable for noninvasively detecting and diagnosing breast cancer.

Saliva was selected for investigation as a diagnostic fluid primarilyfor two reasons: 1) collection of saliva is a non-invasive procedurethat can be conducted in any environment requiring no special skills orequipment; and 2) the physiology of the oral cavity is such that theflow of secreted fluid is continually flushing and refreshing the fluidcontent of the mouth. Therefore, the composition of the fluid at anymoment temporally reflects the metabolic activity of the secretoryelements generating that fluid. There are also significant potentialadvantages over the study of plasma. In plasma the concentration ofproteins can vary over nine orders of magnitude, which severelydiminishes the likelihood of detecting those proteins at the lower endof the scale. The second consideration is that blood is composed ofpeptides, proteins and cells that have half lives ranging from secondsto weeks or even a month or more. As a consequence, the presence of agiven substance might not accurately reflect the current state of theorganism.

Protein profiling was performed on three pooled, stimulated whole salivaspecimens. One specimen consisted of pooled saliva from 10 healthysubjects, another specimen was a pooled saliva specimen from 10 benigntumor patients (fibroadenomas), and the third specimen was from 10subjects diagnosed with ductal carcinoma in situ (DCIS). Fibroadenomawas selected due to its high prevalence among benign breast tumors. DCISwas selected as this represents the lowest detectable tumor loadaccording to the AJCC Cancer Staging Handbook, Part VII Breast (13). Thecancer cohort, internally, was estrogen, progesterone and Her2/neureceptor status negative as determined by the pathology report. Allsubjects were matched for age and race and were non-tobacco users.

Saliva Collection and Sample Preparation.

Stimulated whole salivary gland secretion is based on the reflexresponse occurring during the mastication of a bolus of food. Usually, astandardized bolus (1 gram) of paraffin or a gum base (generouslyprovided by the Wrigley Co., Peoria, Ill.) is given to the subject tochew at a regular rate. The individual, upon sufficient accumulation ofsaliva in the oral cavity, expectorates periodically into a preweigheddisposable plastic cup. This procedure is continued for a period of fiveminutes. The volume and flow rate is then recorded along with a briefdescription of the specimen's physical appearance, similar to theprocedure described by Berkhed and Heintze (14). The cup with the salivaspecimen is reweighed and the flow rate determined gravimetrically. Thissalivary collection method may be modified for more consistent proteinanalyses as described by Streckfus et al. (15). A protease inhibitorfrom Sigma Co (St. Louis, Mich., USA) is added along with enoughorthovanadate from a 100 mM stock solution to bring its concentration to1 mM. The treated samples are centrifuged for 10 minutes atapproximately 15,000×g in a conventional table top centrifuge. Thesupernatant is divided into 1 ml aliquots and frozen at −80° C.

LC-MS/MS Mass Spectroscopy with Isotopic Labeling.

Mass spectrometry, liquid chromatography, analytical software andbioinformatics techniques are used to analyze complex salivary peptidemixtures, wherein such techniques are capable of detecting differencesin abundance of a given protein of over 8 orders of magnitude, asdescribed by Wilmarth et al. (16). For example, isotopic labelingcoupled with liquid chromatography tandem mass spectrometry(IL-LC-MS/MS) to characterize the salivary proteome is employed asdescribed by Gu et al. (17). The preferred method is a mass spectroscopybased method that uses isotope coding of complex protein mixtures suchas tissue extracts, blood, urine or saliva to identify differentiallyexpressed proteins, according to the method of Shevchenko, et al. (18).In this way, changes in the level of expression of a protein are readilyidentified, thus permitting the analysis of putative regulatory pathwaysand providing information regarding the pathological disturbances inaddition to potential biomarkers of disease. In embodiments, theanalysis is performed on a tandem QqTOF QStar XL mass spectrometer(Applied Biosystems, Foster City, Calif., USA) equipped with an LCPackings (Sunnyvale, Calif., USA) HPLC for capillary chromatography. TheHPLC is coupled to the mass spectrometer by a nanospray ESI head(Protana, Odense, Denmark) for maximal sensitivity, as described byShevchenko, et al. (18). An advantage of tandem mass spectrometrycombined with LC is enhanced sensitivity and the peptide separationsafforded by chromatography. Thus, even in complex protein mixtures,MS/MS data can be used to sequence and identify peptides by sequenceanalysis with a high degree of confidence.

Isotopic labeling of protein mixtures has proven to be a usefultechnique for the analysis of relative expression levels of proteins incomplex protein mixtures such as plasma, saliva urine or cell extracts.There are numerous methods that are based on isotopically labeledprotein modifying reagents to label or tag proteins to determinerelative or absolute concentrations in complex mixtures. The higherresolution offered by the tandem Qq-TOF mass spectrometer is ideallysuited to isotopically labeled applications. The recently introducediTRAQ reagents (Applied Biosystems) are amino reactive compounds thatare used to label peptides in a total protein digest of a fluid (17, 19,20). The tag remains intact through TOF-MS analysis; however, it isrevealed during collision induced dissociation by MSMS analysis. Thus,in the MSMS spectrum for each peptide there is a fingerprint indicatingthe amount of that peptide from each of the different protein pools.Since virtually all of the peptides in a mixture are labeled by thereaction, numerous proteins in complex mixtures are identified and canbe compared for their relative concentrations in each mixture. Thus evenin complex mixtures there is a high degree of confidence in theidentification.

Salivary Protein Analyses with iTRAQ.

The saliva samples are thawed and immediately centrifuged to removeinsoluble materials. The supernatant is assayed for protein using theBio-Rad protein assay (Hercules, Calif., USA) and an aliquot containing100 μg of each specimen is precipitated with 6 volumes of −20° C.acetone. The precipitate is resuspended and treated according to theiTRAQ™ manufacturer's instructions. Protein digestion and reaction withiTRAQ labels are carried out according to the manufacturer'sinstructions (Applied Biosystems, Foster City, Calif.). Briefly, theacetone precipitable protein is centrifuged in a table top centrifuge at15,000×g for 20 minutes. The acetone supernatant is removed and thepellet resuspended in 20 μl dissolution buffer. The soluble fraction isdenatured and disulfides reduced by incubation in the presence of 0.1%SDS and 5 mM TCEP (tris-(2-carboxyethyl)phosphine)) at 60° C. for onehour. Cysteine residues are blocked by incubation at room temperaturefor 10 minutes with MMTS (methyl methane-thiosulfonate). Trypsin isadded to the mixture to a protein:trypsin ratio of 10:1. The mixture isincubated overnight at 37° C. The protein digests are labeled by mixingwith the appropriate iTRAQ reagent and incubating at room temperaturefor one hour. On completion of the labeling reaction, the four separateiTRAQ reaction mixtures are combined. Since there are a number ofcomponents that might interfere with the LCMSMS analysis, preferably thelabeled peptides are partially purified by a combination of strongcation exchange followed by reverse phase chromatography on preparativecolumns, employing techniques that are known in the art. The combinedpeptide mixture is diluted 10 fold with loading buffer (10 mM KH₂PO₄ in25% acetonitrile at pH 3.0) and applied by syringe to an ICATCartridge-Cation Exchange column (Applied Biosystems, Foster City,Calif.) column that has been equilibrated with the same buffer. Thecolumn is washed with 1 ml loading buffer to remove contaminants. Toimprove the resolution of peptides during LCMSMS analysis, the peptidemixture is partially purified by elution from the cation exchange columnin 3 fractions. Stepwise elution from the column is achieved withsequential 0.5 ml aliquots of 10 mM KH₂PO₄ at pH 3.0 in 25% acetonitrilecontaining 116 mM, 233 mM and 350 mM KCl respectively. The fractions areevaporated by Speed Vac to about 30% of their volume to remove theacetonitrile and then slowly applied to an Opti-Lynx Trap C18 100 μlreverse phase column (Alltech, Deerfield, Ill.) with a syringe. Thecolumn is washed with 1 ml of 2% acetonitrile in 0.1% formic acid andeluted in one fraction with 0.3 ml of 30% acetonitrile in 0.1% formicacid. The fractions are dried by lyophilization and resuspended in 10 μl0.1% formic acid in 20% acetonitrile. Each of the three fractions isanalyzed by reverse phase LCMSMS.

Reverse Phase LC-MS/MS.

The desalted and concentrated peptide mixtures are quantified andidentified by nanoLC-MS/MS on an API QSTAR XL mass spectrometer (ABSSciex Instruments) operating in positive ion mode. The chromatographicsystem consists of an UltiMate nano-HPLC and FAMOS autosampler (DionexLC Packings). Peptides are loaded on a 75 μm×10 cm, 3 μm fused silicaC18 capillary column, followed by mobile phase elution: buffer (A) 0.1%formic acid in 2% acetonitrile/98% Milli-Q water and buffer (B): 0.1%formic acid in 98% acetonitrile/2% Milli-Q water. The peptides areeluted from 2% buffer B to 30% buffer B over 180 minutes at a flow rate220 nL/min. The LC eluent is directed to a NanoES source for ESI/MS/MSanalysis. Using information-dependent acquisition, peptides are selectedfor collision induced dissociation (CID) by alternating between an MS (1sec) survey scan and MS/MS (3 sec) scans. The mass spectrometerautomatically chooses the top two ions for fragmentation with a 60 sdynamic exclusion time. The IDA collision energy parameters wereoptimized based upon the charge state and mass value of the precursorions. For each saliva sample set there are three separate LCMSMSanalyses.

The accumulated MSMS spectra are analyzed by ProQuant and ProGroupsoftware packages (Applied Biosystems) using the SwissProt fastadatabase for protein identification. The ProQuant analysis is carriedout with a 75% confidence cutoff with a mass deviation of 0.15 Da forthe precursor and 0.1 Da for the fragment ions. The ProGroup reports aregenerated with a 95% confidence level for protein identification.

Bioinformatics.

The Swiss-Prot database is employed for protein identification while thePathwayStudio® bioinformatics software package is used to determineregulatory pathways and distribution of proteins according to function.Venn diagrams may be constructed, using, for example, the Venn DiagramPlotter software program presently available from the U.S. NationalCenter for Research Resource (43). Graphic comparisons with logconversions and error bars for protein expression are produced using theProQuant® software, for example.

Table 1 summarizes the results of an exemplary iTRAQ analysis of salivasamples carried out as described above. Overall protein comparisonsbetween benign vs. healthy, cancer vs. benign and cancer vs. healthyadult female subjects are shown. In total, 130 proteins were identifiedat a confidence level>95, and of those, 72 proteins were identifiedat >99 confidence level. Of these 130 proteins, there were 40 proteinsthat were determined to be expressed significantly differently (p<0.05)in the benign or tumor saliva compared to healthy controls. FIG. 1 is aVenn diagram of these proteins showing the overlapping proteins amongthe three groups of women.

Table 2 contains a list of the up-regulated (n=14) and down-regulated(n=9) proteins for the pooled saliva sample composed of individualsdiagnosed with a fibroadenoma (benign tumor). The fold increase ofprotein and p-values are also presented. As shown in Table 2, of the 29proteins, 9 (69%) were significant at the p<0.001 to p<0.0001 levels and7 of those 9 proteins had a greater than 50% change in concentration.

Table 3 contains a list of the up-regulated (n=20) and down-regulated(n=12) proteins observed in the Stage 0 cancer saliva compared tocontrols. “Stage 0 cancer” refers to breast tumor in which the stage ismicroscopic and demonstrates in situ involvement. The Stage 0 cancersaliva samples were obtained from women diagnosed with ductal carcinomain situ. There were 15 proteins that showed a 1.5 fold increase inlevels in the cancer compared to control subjects. Of these 15differentially expressed proteins, 12 were significant at the p<0.001 top<0.0001 levels. Each of the proteins listed in Table 3 is referenced inthe literature as having been found in blood from cancer subjects and/orin cell supernatants from cancer cell lines. Of the 32 proteins thatwere up- or down-regulated secondary to carcinoma of the breast, 79% ofthose differentially expressed proteins are cited in the literature asbeing involved, molecularly, with breast cancer (27-36). The functionsattributed to these proteins are shown in FIG. 2, along with anindication of the percentage of the total number of proteins thatcorrespond to those respective functions.

A comparison of the differentially expressed proteins is shown ingraphical form in FIG. 3. In this figure the log of the ratios forbenign vs control and cancer vs control is plotted for each of theproteins. The error bars are the log of the error factor calculated bythe ProQuant™ software. This comparison illustrates that there are anumber of significant differences in the expression levels of severalproteins between the cancer and benign saliva samples. A directcomparison of protein expression ratios between the benign and cancerpooled specimens that exhibited overlap or commonality among theproteins is shown in Table 4. Among the comparison of the overlappingproteins, the levels of 10 proteins fell at or below a p-value of 0.001and the levels of 9 proteins represented a greater than 50% differencein the cancer saliva samples compared to benign saliva samples. Thesedata are replotted in log form in FIG. 4.

In brief, three pooled (n=10 subjects/pool) stimulated whole salivaspecimens from women were analyzed. One pooled specimen was from healthywomen, another pooled specimen from women diagnosed with a benign breasttumor and the other one pooled specimen was from women diagnosed withductal carcinoma in situ (DCIS). Differential expression of proteins wasmeasured by isotopically tagging proteins in the tumor groups andcomparing them to the healthy control group. Experimentally, saliva fromeach of the pooled samples was trypsinized and the peptide digestslabeled with the appropriate iTRAQ reagent. Labeled peptides from eachof the digests were combined and analyzed by reverse phase (C18)capillary chromatography on an Applied Biosystems QStar LC-MS/MS massspectrometer equipped with an LC-Packings HPLC.

With respect to the overall analyses, the total number of salivaryproteins reported in healthy individuals at the 95% confidence levelswas 130 in the exemplary study disclosed herein. By comparison, in priorstudies that used 2D gel and mass spectrometry, about 100-102cancer-related salivary proteins were reported (16, 24). In still otherprior studies, about 300 cancer-related salivary proteins were reportedbased on both 2D gel and “shotgun” proteomic techniques (21).Differences in the number of total proteins identified are probably aresult of different technologies, profiling based on single samples orin collection and/or using single individual profiling (non-pooledspecimen) or in collection and/or sampling techniques (37).

Of the 130 proteins presently identified in the saliva specimens, fortynine proteins were differentially expressed between the healthy controlpool and the benign and cancer patient groups. Table 3 lists theproteins for the healthy pool vs. benign tumor pool, and Table 4 liststhe proteins for the healthy pool vs. cancer tumor pool. As illustratedin Table 4, many of these proteins have been reported as being eitherup- or down-regulated in blood and cancer tissue. There is also anoverlap of 13 up-regulated proteins and five down-regulated proteinsbetween the protein profiles, leaving the benign group with fiveproteins that are unique to fibroadenomas (ENOA, IGHA2, IL-1 ra, S10A7,SPLC2) and 11 proteins unique to DCIS (CAH6, K2C4, CYTA, FABP4, IGHI,TRFL, BPIL1, CYTC, HPT, PROF1, ZA2G). FIG. 1 shows Venn diagrams of theoverlapping proteins between the three groups of women. Notably,two-thirds of the total “overlap” proteins were up-regulated. Withoutwishing to be limited to any specific theory to explain this phenomenon,it is proposed that a portion of the up-regulated proteins thatexhibited overlap are associated with pathways which are common to bothdisorders. This would include the proteins associated with cytoskeletonand cell growth. The benign tumor was targeted in order to increase thespecificity of the panel of markers. If there are markers specific to abenign tumor and other markers specific only to the malignancy, then theprobability of making the correct clinical assessment is furtherincreased.

Tables 5, 6 and 7 represent a comparison of the healthy control andcancer proteins which overlapped each group. As illustrated in Tables5-7, changes are listed in order of confidence, level 3 being thehighest confidence. Confidence levels are defined as follows: Level 3:Changes greater than 2 fold from good quality signals that also pass avisual inspection. Level 2: Changes greater than 2 fold from goodquality signals that do not pass visual inspection. Level 1: Changesgreater than 2 fold from low quality signals. Level 0: No significantprotein changes.

In this comparison, only seven proteins remained significantly differentin the presence of carcinoma (p≦0.005). This would include the proteinsassociated with exocytosis, the cytoskeleton and immuno-response. As thecell proliferation process is further enhanced in the presence ofcarcinoma, these proteins are expected to be significantly up-regulatedin the case of carcinoma. FIGS. 3 and 4 provide further illustration ofthe protein comparisons.

Without wishing to be limited to a single theory to explain themechanism by which these proteins are altered in the presence ofcarcinoma of the breast, it is proposed that since the histo-physiologyis very similar between the ductal tissues of the breast and those ofthe salivary glands, there may be extra-cellular communication betweenthe two distant tissues (38, 39). This phenomenon has also been observedin nipple aspirates (40, 41) which have yielded many of the same proteinconstituents as observed in Table 4.

The salivary proteome that is altered in the presence of carcinoma ofthe breast was examined in the present studies, and a group of proteinswere identified that have potential diagnostic utility for breastcancer. Saliva as a diagnostic media has potential clinical advantagesbecause it contains numerous proteins and protein fragments that mayhave analytical value. Salivary fluid is continually produced andexcreted in an open-ended circuit, thereby offering a way to obtain“real-time” results. In contrast, blood exists in a “closed-loop”system. Therefore blood, as a circulating media, may contain proteinsthat are a day, a week, or a month old as well as proteins which havepassed numerous times through many organ systems or have been excreted(42). In some cases, saliva and nipple aspirates may be a more usefuldiagnostic fluid than blood.

Use of Salivary Biomarkers to Differentiate Non-Cancerous Tissue, BenignTumor, and DCIS in a Test Sample.

In some embodiments, one or more salivary biomarkers are used todifferentiate non-cancerous breast tissue, benign breast tumor andductal carcinoma in situ of the breast by analyzing the salivaryproteome of an individual suspected of having breast cancer, asdescribed above. One or more of the protein biomarkers identified inTables 3 and 4 are identified and quantified in the test patient'ssaliva specimen, and the resulting values are then compared to abiomarker reference panel, which is developed in accordance with theabove-described procedure. The biomarker reference panel is made up of agroup of the same saliva protein constituents developed using DCIS,benign tumor and healthy, non-cancerous (i.e., tumor free) control grouppopulations. Each constituent has associated with it a range ofconcentration values, a mean concentration, and statistical error range.Receiver Operating Characteristic Curves (ROC) curves (sensitivity vs.1-specificity) are constructed for salivary protein concentrations. Theoptimum cutoff value for each marker is determined by using the cutoffvalue that produces the largest percentage of area under its ROC curve.The salivary ROC curves for each marker are compared using a modifiedWilcoxon rank sum procedure. Once determinations have been made for thesensitivity and specificity of each marker, positive and negativepredictive values, and likelihood ratios are calculated. The same typesof analyses are also made for the benign tumor group versus the cancergroup. From comparison of the individual marker values to the referencepanel values, a differential diagnosis of the patient is determined.

For individual protein biomarker values that fall within the range ofcontrol values, a diagnosis of lower risk or likelihood of occurrence ofbreast tumor is determined. A comparison chart similar to that shown inFIG. 3 or 4 may be employed, for example, in which the reference valuesof the biomarkers in breast tumor saliva samples are presented relativeto controls (e.g., mean values for saliva samples from breast tumor-freeindividuals). Alternatively, the reference values may be storedelectronically on a computer readable storage device, and a computeraided comparison is performed and a diagnostic report is prepared, uponinput of the test sample biomarker levels. When the concentration valueof a selected protein biomarker falls within the range for that proteinin the DCIS and/or benign groups of the reference panel, a diagnosis ofelevated risk or likelihood of the presence or occurrence of a breasttumor is appropriate. When the concentration of a protein issignificantly different than the mean concentration of the same proteinin the control group of the reference panel, a diagnosis of high risk orhigh likelihood of the presence of a breast tumor, or of the occurrenceof a breast tumor, is appropriate.

In one embodiment of a screening procedure, the biomarker Q9UBC9/SPRR3(encoded by GenBank Accession No. Q9UBC9 Gene ID. SPRR3), indicated inTables 3 and 4, is quantitated in the saliva of an individual todiagnose a breast cancer, using the above-described saliva samplepreparation and analysis procedures, or equivalent methods. The detectedlevel or value of the biomarker is then compared to reference values ofthe biomarker in the saliva of individuals with breast tumors (eitherbenign fibroadenomas or DCIS). By comparison of the individual's markervalue to the reference value (or range of values), a differentialdiagnosis of the patient is determined, to differentiate between breastcancer and breast cancer-free condition.

In a modification of this procedure, the individual's salivary level ofthe Q9UBC9/SPRR3 biomarker is additionally compared to respectivereference values in the saliva of individuals with DCIS and ofindividuals with benign breast tumor (i.e., fibroadenoma). By furthercomparison of the individual's marker value to the respective referencevalues of the marker in individuals with DCIS or benign breast tumor, afurther diagnosis of the patient is obtained, to differentiate betweenbenign breast tumor and DCIS.

In another embodiment the biomarker Q8N4F0/BPIL1 (encoded by GenBankAccession No. Q8N4F0 Gene ID. BPIL1), indicated in Table 3, isquantitated in the saliva of an individual to diagnose DCIS breasttumor, using the above-described saliva sample preparation and analysisprocedures, or equivalent methods. The detected level of the biomarkeris then compared to respective reference values of the biomarker in thesaliva of individuals with DCIS and of individuals with benign breasttumor (i.e., fibroadenoma). By comparison of the individual's markervalue to the reference values, a differential diagnosis of the patientis determined, to differentiate between tumor-free breast tissue and abreast cancer, or to indicate lower risk or likelihood of the presenceor occurrence, if the value of the test sample falls within the controlvalues for this protein biomarker.

In another embodiment the biomarker P07737/PROF1 (encoded by GenBankAccession No. P07737 Gene ID. PROF1), indicated in Table 3, isquantitated in the saliva of an individual to diagnose benign or DCISbreast tumor, using the above-described saliva sample preparation andanalysis procedures, or equivalent methods. The detected level of thebiomarker is then compared to respective reference values of thebiomarker in the saliva of individuals with DCIS and of individuals withbenign breast tumor (i.e., fibroadenoma). By comparison of theindividual's marker value to the reference values, a differentialdiagnosis of the patient is determined, to differentiate betweentumor-free breast tissue and a breast tumor (either benign or DCIS). Asnoted above, if the value of the test sample falls within the controlvalues for this protein biomarker, a diagnosis of lower risk orlikelihood of the presence or occurrence of either fibroadenoma or DCISis made.

Another embodiment uses the biomarker P01024/C03 (encoded by GenBankAccession No. P01024 Gene ID. 003). No. P01024 Gene ID C03 is importantdue to its central role in the activation of the classical complementsystem and contributes to innate immunity. Its activation is requiredand generally results in an early inflammatory response. As DCIS is avery early stage carcinoma and localized inflammation may be initiallypresent, this protein will present itself as a marker for earlydetection. This biomarker is quantitated in the saliva of an individualusing the above-described saliva sample preparation and analysisprocedures, or equivalent methods. The detected level of the biomarkeris then compared to reference value of the biomarker in the saliva ofindividuals with DCIS. By comparison of the individual's marker value tothe reference value, a diagnosis of the patient is determined, todifferentiate between tumor-free breast tissue and DCIS. As noted above,if the value of the test sample falls within the control values for thisprotein biomarker, a diagnosis of lower risk or likelihood of thepresence or occurrence of DCIS is made. This biomarker is not typicallyassociated with benign tumors. Therefore, in some screeningapplications, the comparative values of the P01024/C03 biomarker in anindividual's saliva will be especially informative as to the likelihoodof the risk or present existence of DCIS in that individual.

In variations of the foregoing embodiments, quantitation and analysis oftwo or more of the above-identified biomarkers are combined to increasethe robustness of the diagnostic test. For example, a screeningprocedure may analyze the comparative levels of Q9UBC9/SPRR3 and one ormore biomarkers that are essentially unique to fibroadenomas (e.g.,ENOA, IGHA2, IL-1ra, S10A7, SPLC2). In some cases, a screening proceduremay analyze the comparative levels of Q8N4F0/BPIL1 and one or morebiomarkers that are essentially unique to DCIS (e.g., CAH6, K2C4, CYTA,FABP4, IGHGI, TRFL, BPIL1, CYTC, HPT, PROF1 and ZA2G), in anindividual's saliva sample. In some cases, a screening procedure mayanalyze the comparative levels of P07737/PROF1 or P01024/C03 in anindividual's saliva relative to the respective biomarker value incontrol saliva samples, to determine a diagnosis of the patient thatdifferentiates between tumor-free breast tissue and breast tumor.

It is believed that the protein biomarkers Q9UBC9/SPRR3, Q8N4F0/BPIL1,P07737/PROF1 and P01024/C03 have not been previously associated withbreast tumors. They are believed to primarily function, respectively, asan indicator of tissue damage, as a transport protein, i.e. associatedwith movement of proteins across a cellular membrane, as acytoskeleton-associated protein, and as an initiator of immuneresponses. The combined screening for saliva levels ofvariously-functioning protein biomarkers such as these potentiallyoffers a more robust diagnostic method than a method that screens forprotein biomarkers associated with only a single physiological function.Additionally, using multiple biomarkers enhances cancer detection byreducing the number of false positives and negatives. This is achievedby using proteins that are associated uniquely with specific biologicalpathways, markers that are tumor specific (benign vs. malignant), and bydetermining if the proteins are up- or down-regulated in the presence ofdisease. Collectively, this information will reduce subjectivity andprovide the clinician with information for superior clinicaldecision-making.

Accordingly, in another embodiment of a diagnostic screening procedure,one or more of the biomarkers Q9UBC9/SPRR3, Q8N4F0/BPIL1, P07737/PROF1and P01024/C03 are quantitated and analyzed along with anotherbiomarker, such as a biomarker that is known to be significantlyup-regulated or down-regulated in benign breast tumors and/or DCIS(e.g., significant at the p<0.001 to p<0.0001 level). Such otherbiomarkers include, for example, those that are known to be associatedwith cell adhesion and/or communication; are associated with thecytoskeleton; are involved with energy metabolism; are associated withimmune response; are inhibitors of cysteine proteases; are indicators oftissue damage; inhibit G1 CDKs, or modulate NK activity; are calciumbinding proteins; are membrane associated proteins; are proteins withbinding functions; are involved with protein degradation and inhibition;are associated with cell signaling; are surface antigens related togrowth; or are involved with transport in cells of the body. Somespecific examples of such biomarkers are identified in Tables 3 and 4.

A patient may be monitored for recurrence or progression of breastcancer after surgery, by testing the status of saliva biomarkers beforeand after surgery, and periodically thereafter. Such differentialidentifications may be used alone or in conjunction with one or moreother diagnostic methods for diagnosing or monitoring a patient forbreast cancer. For instance, the patient may have received therapeutictreatment for breast cancer, with or without prior surgical removal ofcancerous tissue. Analyzing saliva samples for protein biomarkers, inaccordance with the methods described herein, will potentially aid inmaking treatment decisions for the patient. The effectiveness of a givendrug, or radiation therapy, or surgical procedure may be monitored byperiodically determining the status of the saliva biomarkers in thepatient, and comparing them to the same reference panel and/or to thepatient's previous saliva tests.

The potential diagnostic benefits include the overall management ofbreast cancer in women. The diagnosis of breast cancer at an earlierstage allows a woman more choice in selection of various treatmentoptions. A saliva based test is potentially useful in the postoperativemanagement of cancer patients. For example, in some cases, followingtumor removal, a decrease in marker concentration will follow andeventually plateau to within a normal level indicating that the patientis free of disease. In contrast, a persistently high level of salivaryprotein biomarkers will be indicative of tumor recurrence orpersistence. Saliva is potentially a cost effective method formonitoring the effectiveness of chemotherapy in which decreases inmarker concentrations are observed if the treatment regimen iseffective.

TABLE 1 Comparison Up Regulated Down Regulated Total Markers Benign vs.Healthy 14 9 23 Cancer vs. Healthy 20 12 32 Cancer vs. Benign 17 11 28Totals 51 32 83

TABLE 2 Benign vs. Healthy Accession Protein Name Ratio p Value Gene ID.Up-Regulated Proteins in Benign P06733 Alpha enolase 1.4204 0.0006 ENOAP04083 Annexin A1 1.6282 0.0047 ANXA1 P05109 Calgranulin A 1.9393 0.0001S10A8 P06702 Calgranulin B 1.6297 0.0002 S10A9 Q9UBC9 Cornifin beta2.1353 0.0000 SPRR3 P01036 Cystatin S precursor 1.2584 0.0027 CYTSP01877 Ig alpha-2 chain C region 1.2781 0.0213 IGHA2 P01871 Ig mu chainC region 1.256 0.0196 MUC P13646 Keratin, type I cytoskeletal 13 1.31840.0180 K1CM Q9QWL7 Keratin, type I cytoskeletal 17 2.6008 0.0018 K1CQP04264 Keratin, type II cytoskeletal 1 1.4504 0.0002 K2C1 P48666Keratin, type II cytoskeletal 6C 2.0979 0.0003 K2C6C Q9HC84 Mucin 5Bprecursor 1.4306 0.0001 MUCSB P05164 Myeloperoxidase precursor 1.89490.0015 PERM Down-Regulated Proteins in Benign P28325 Cystatin Dprecursor 0.817 0.0455 CYTD P18510 Interleukin-1 receptor antagonistprotein precursor 0.7484 0.0312 IL1RA P22079 Lactoperoxidase precursor0.7408 0.0137 PERL P80188 Neutrophil gelatinase-associated lipocalinprecursor 0.7971 0.0289 NGAL P31151 S100 calcium-binding protein A70.4737 0.0054 S10A7 P04745 Salivary alpha-amylase precursor 0.82450.0023 AMYS P02787 Serotransferrin precursor 0.6968 0.0000 TRFE P02768Serum albumin precursor 0.6922 0.0000 ALBU Q96DR5 Short palate, lung andnasal epith. Ca assoc.protein 2 0.7798 0.0170 SPLC2

TABLE 3 Cancer vs. Healthy Accession Blood Tissue Number Protein NameRatio P Value Gene ID Reported Function (Ref.) (Ref.) Up-RegulatedProteins in Cancer Saliva Q9DCT1 Aldo-keto reductase 1.44 0.0264 AK1E1Detox & reduction — 25 P04083 Annexin A1 3.06 0.0001 ANXA1 Membraneassociated protein 30 25 P05109 Calgranulin A 2.18 0.0001 S10A8 Celladhesion & communication 30 — P06702 Calgranulin B 1.87 0.0001 S10A9Cell adhesion & communication 30 — P23280 Carbonic anhydrase VI 1.520.0003 CAH6 Energy/metabolism 30 27 Q9UBC9 Cornifin beta 1.82 0.0001SPRR3 Indicator of tissue damage — — P13646 Cytokeratin 13 6.56 0.0001K1CM Intracytoplasmatic cytoskeleton protein 30 — P19013 Cytokeratin 46.50 0.0019 K2C4 Intracytoplasmatic cytoskeleton protein 30 25 P48666Cytokeratin 6C 4.41 0.0001 K2C6C Intracytoplasmatic cytoskeleton protein— — P01040 Cystatin A 2.00 0.0014 CYTA Protein degradation & inhibitor30 25 P01036 Cystatin SA-III 1.20 0.0115 CYTS Protein degradation &inhibitor — — Q01469 Epid. Fatty acid-binding prot. 2.1 0.0362 FABP4Protein with binding functions 30 — P01857 Ig gamma-1 chain C region1.44 0.0034 IGHG1 Immunoresponse — — P01871 Ig mu chain C region 1.510.0011 MUC Immunoresponse — — P06870 Kallikrein 1 precursor 1.23 0.0425KLK1 Serine protease P02788 Lactoferrin 1.58 0.0001 TRFL Inhibits G1CDK's, mod. NK activity 30 26 Q9HC84 Mucin 5B 1.68 0.0001 MUC5B Celladhesion & communication — 36 P05164 Myeloperoxidase precursor 2.720.0005 PERM Defense Immunoresponse 30 — P31151 S100 calcium-bindingprotein 2.05 0.0001 S100P Calcium binding protein 30 25 P31025 VonEbner's gland protein (lipocalin) 1.26 0.0043 VEGP Inflammation — 25Down-Regulated Proteins in Cancer Saliva Q8N4F0 Bact. Perm.-increasingprot.- 1 0.80 0.0004 BPIL1 Transport 30 — P04264 Cytokeratin 1 0.610.0001 K2C1 Intracytoplasmatic cytoskeleton protein — 25 P01034 CystatinC 0.72 0.0187 CYTC Inhibitor of cysteine proteases — 31 P28325 CystatinD precursor 0.68 0.001 CYTD Protein degradation & inhibitor — — P00738Haptoglobin 0.83 0.0023 HPT Indicator of tissue damage and necrosis 30,34 — P22079 Lactoperoxidase 0.82 0.0388 PERL Transport — 33 P01833Poly-IG receptor protein 0.86 0.0234 PIGR Immunoresponse P07737Profilin-1 0.68 0.0135 PROF1 Cytoskeleton associated — 25 P02768 Serumalbumin precursor 0.73 0.0001 ALBU Transport 30 27 Q96DR5 Short palate,lung and nasal epith. carc. 0.61 0.0001 SPLC2 Immune response & detox. —32 assoc. protein 2 P02787 Transferrin 0.72 0.0001 TRFE Surface antigenassoc. with growth 34 — P25311 Zinc-alpha-2-glycoprotein 0.84 0.0009ZA2G Signaling — 29

TABLE 4 Cancer vs. Benign p Gene Accession Protein Name Ratio Value ID.Up-Regulated Proteins in Cancer Q9HC84 Mucin 5B precursor 1.16 0.0046MUC5B P80188 lipocalin precursor 1.18 0.0443 NGAL P01871 Ig mu chain Cregion 1.19 0.0231 MUC P04745 Salivary alpha-amylase 1.19 0.001 AMYSprecursor P23280 Carbonic anhydrase VI precursor 1.29 0.0293 CAH6 P02788Lactotransferrin precursor 1.30 0.0113 TRFL P05164 Myeloperoxidaseprecursor 1.41 0.0487 PERM P01857 Ig gamma-1 chain C region 1.43 0.0004IGHG1 Q9DCT1 Aldo-keto reductase 1.47 0.018 AK1E1 P31025 Von Ebner'sgland protein 1.55 0.0005 VEGP P04083 Annexin A1 1.86 0 ANXA1 P10599Thioredoxin 1.93 0.03 THIO P01040 Cystatin A 1.95 0.0056 CYTA P48666Keratin, type II cytoskeletal 6C 2.07 0 K2C6C P31151 S100calcium-binding protein 4.08 0.0005 S10A7 A7 P13646 Keratin, type Icytoskeletal 13 4.76 0 K1CM P19013 Keratin, type II cytoskeletal 4 5.590.0013 K2C4 Down-Regulated Proteins in Cancer P04264 Keratin, type IIcytoskeletal 1 0.42 0 K2C1 Q9QWL7 Keratin, type I cytoskeletal 17 0.580.001 K1CQ P01034 Cystatin C precursor 0.67 0.0246 CYTC P13796 L-plastin0.69 0.0145 PLSL P06733 Alpha enolase 0.73 0.0106 ENOA P01833Polymeric-Ig receptor 0.76 0.0002 PIGR P12273 Prolactin-inducibleprotein 0.77 0.0012 PIP precursor Q96DR5 Short palate, lung and nasal0.78 0.0219 SPLC2 epithelium carcinoma associated protein 2 precursorP07477 Trypsin I precursor 0.82 0.0196 TRY1 P28325 Cystatin D precursor0.83 0.0155 CYTD Q9UBC9 Small proline-rich protein 3 0.84 0.0228 SPRR3

TABLE 5 Low risk Subjects vs. Stage 0 Cancer Subjects Level 3 - Changesgreater than 2-fold from good quality signals that pass a visualinspection Swiss Predicted SSP Acc. No. Type Lane Protein Name LevelProt ID Locus MW MW Signal Change FoldChange 5602 A13920 CONTROL 25Annexin I 3 P46193 301 38 40 0 − 26.65  2501 A14020 CONTROL 5 Annexin II3 P07355 302 36 39 1 − div/0 6903 A92820 CONTROL 27 Apaf-1 3 O14727 317130 137 1 − div/0 5702 R10820 CONTROL 22 BAG-1-58KD 3 Q99933 57350/46/33 58 1 − 12.90  6601 C41720 CONTROL 27 Calreticulin-51KD 3 P1421112317 60 51 1 − div/0 6702 C41720 CONTROL 27 Calreticulin-54KD 3 P1421112317 60 54 1 − div/0 9703 C20820 CANCER 30 E-Cadherin 3 P12830 999 120120 1 − div/0 5901 N38620 CONTROL 23 eNOS/NOS Type III 3 P29474 4846 140140 1 − div/0 3901 C26220 CONTROL 9 g-Catenin 3 Q15151 3728 82 82 1 −div/0 6401 G16720 CONTROL 28 GRB2 3 P29354 81504 24 24 0 + 3.09 8401G16720 CONTROL 33 GRB2-24KD 3 P29354 81504 24 24 1 + 3.86 8501 G16720CONTROL 33 GRB2-28KD 3 P29354 81504 24 28 0 + 10.15  1601 M93620 CANCER5 Mint3/X11g-61KD 3 O88888 9546 61 61 0 + 4.65 4904 M94120 CONTROL 14MSH3-138KD 3 P20585 4437 127 138 1 − div/0 3607 P35220 CONTROL 7 PP1 3P08129 5499 36 41 1 − 2.18 202 R23520 CANCER 2 Ral A 3 P11233 5898 24 261 − 21.01  2101 S10520 CANCER 8 Spot 14 3 Q92746 7069 17 17 0 + 2.002601 T57120 CONTROL 2 Tau-53KD 3 P10636 4137 50-68 53 1 + 3.02

TABLE 6 Low risk Subjects vs. Stage 0 Cancer Subjects Level 2 - Changesgreater than 2-fold from good quality signals that do not pass a visualinspection Swiss Predicted SSP Acc. No. Type Lane Protein Name LevelProt ID Locus MW MW Signal Change FoldChange 7503 CANCER 20alpha-Tubulin 2 0 0 55 58 1 − 1.92 5504 F14220 CONTROL 23 basic FGF-25KD2 P09038 2246 18-24 25 1 + 3.30 6602 C80420 CONTROL 29 CD38 2 P28907 95246 41 1 − div/0 4601 C45820 CONTROL 17 CDC25B-53KD 2 O43550 994 63 530 + 2.20 7702 F19720 CONTROL 30 fyn 2 P06241 2534 59 55 0 + 3.51 4501G59720 CONTROL 14 GST-p 2 P09211 2950 23 25 1 + 3.89 7404 H10520 CANCER20 KNP-1/HES1 2 0 0 28 28 1 − 4.38 7601 L15620 CONTROL 31 lck-53KD 2P06239 3932 56 53 1 + 3.67 2301 N13320 CANCER 8 NES1 2 O43240 5655 30 280 − 2.00 4201 N42420 CONTROL 20 NTF2 2 0 0 15 15 0 + 1.89 3402 P11920CONTROL 9 p24 2 P97799 22360 24 24 1 + 4.48 5608 A36520 CONTROL 26Phospho-Akt (S473) 2 P31749 207 59 54 0 + 3.89 3610 P67920 CONTROL 7PKBa/Akt-53KD 2 P31749 207 59 53 1 + 2.56 7608 P97220 CANCER 21 PKR 2Q03963 54287 58 62 1 − 31.10  9201 CANCER 35 Rap2 2 0 0 21 21 1 − div/06501 R73920 CONTROL 29 Rho-25KD 2 P03749 387 21 25 1 + 3.06 6607 R41220CANCER 14 RIP 2 Q13546 8737 74 66 1 − 2.16

TABLE 7 Low risk Subjects vs. Stage 0 Cancer Subjects Level 1 - Changesgreater than 2-fold from low quality signals Swiss Predicted SSP Acc.No. Type Lane Protein Name Level Prot ID Locus MW MW Signal ChangeFoldChange 7406 556596 CANCER 24 14-3-3 1 Q9S928 55948 30 30 2 + 3.222603 A27320 CANCER 11 Acetylcholinesterase 1 P22303 43 68 60 2 + 104.25 8503 A40720 CONTROL 33 ApoE 1 P02649 348 36 36 2 − div/0 9503 A37720CANCER 35 Arp3 1 0 0 50 51 2 − 5.64 9601 A37720 CONTROL 37 Arp3 1 0 0 5050 2 − 2.70 901 G73320 CONTROL 1 BiP/GRP78 1 P11021 3309 78 74 2 + 2.249508 C41720 CANCER 35 Calreticulin 1 0 0 60 60 2 + 2.26 7504 C14520CANCER 22 Csk 1 P32577 64019 50 56 2 − 50.52  1701 C37020 CANCER 4E-Cadherin 1 P12830 999 120 120 2 − div/0 2602 H62120 CANCER 10 MLP/XIAP1 P98170 331 57 60 2 + 1.99 1404 H22020 CANCER 5 Hsp40 1 P25685 3301 4043 2 + 2.09 1501 M93620 CANCER 5 Mint3/X11g-55KD 1 O88888 9546 61 55 2 +3.22 (doublet) 4303 N25720 CONTROL 15 Nm23 1 P15531 4831 17 19 2 + 2.729702 N41520 CANCER 28 nNOS/NOS type I-172KD 1 P29476 4842 155 172 2 +6.07 9704 P49620 CANCER 31 Paxillin-147KD 1 P49024 5829 68 147 2 + 2.519606 P49620 CANCER 31 Paxillin-75KD 1 P49024 5829 68 75 2 − 3.67 8502P56720 CONTROL 34 PCNA 1 P12004 5111 36 28 2 + 2.24 8901 P71720 CONTROL34 PDI 1 P05307 64714 55 55 2 + 2.00 4602 P62220 CANCER 12 PKR/p68Kinase 1 P19525 5610 68 60 2 + 3.47 2401 R56220 CONTROL 2 Rac1 1 P15154207 21 24 2 + 2.86 9302 CONTROL 37 Rap2 1 0 0 21 20 2 − div/0 2702G12920 CANCER 9 Ras-GAP 1 P20936 5921 120 128 2 − div/0 7902 R68320CONTROL 32 Rb 1 P13405 19645 110 104 2 + 3.82 2901 G16920 CONTROL 5Stat1 (N-terminus) 1 P42224 6772 91/84 86 2 − div/0 603 T93820 CANCER 2TLS 1 P35637 2521 65 61 2 − 4.19

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While the preferred embodiments of the invention have been shown anddescribed, modifications thereof can be made by one skilled in the artwithout departing from the spirit and teachings of the invention. Theembodiments described herein are exemplary only, and are not intended tobe limiting. Many variations and modifications of the inventiondisclosed herein are possible and are within the scope of the invention.Accordingly, the scope of protection is not limited by therepresentative description set out above, but is only limited by theclaims which follow, that scope including all equivalents of the subjectmatter of the claims. The disclosures of all patents, patentapplications, and publications cited herein are hereby incorporatedherein by reference, to the extent that they provide exemplary,procedural, or other details supplementary to those set forth herein.

What is claimed is:
 1. A method of diagnosing the likelihood of thepresence or occurrence of breast tumor in a test subject, the methodcomprising: (a) measuring in a saliva sample from the test subject theconcentration of at least a first protein biomarker, wherein saidprotein biomarker is selected from the group consisting of CAH6(Carbonic anhydrase VI), K2C4 (Cytokeratin 4), CYTA (Cystatin A), FABP4(Epid. Fatty acid binding prot.), IGHGI (Ig gamma-1 chain C region),TRFL (Lactoferrin), BPIL1 (Bact. Perm.-increasing prot.-1), CYTC(Cystatin C), HPT (Haptoglobin), PROF1 (Profilin-1), ZA2G(Zinc-alpha-2-glycoprotein), ENOA (Alpha enolase), IGHA2 (Ig alpha-2chain C region), IL-1ra (Interleukin-1 receptor antagonist proteinprecursor), S10A7 (S100 calcium-binding protein A7), and SPLC2 (Shortpalate, lung and nasel epith Carc. assoc. protein 2), wherein saidprotein biomarker is differentially expressed in breast tumor andtumor-free breast tissue, to provide a set of test data comprising atest concentration value of each said protein biomarker in said salivasample; (b) comparing said test concentration values from said testsubject to a reference panel comprising (1) a mean concentration valueof each said protein biomarker in saliva from a group of breasttumor-free individuals (reference control group), (2) a meanconcentration value of each said protein biomarker in saliva from agroup of individuals with ductal carcinoma in situ of the breast (DCIS)(reference DCIS group), or from a group of individuals with benignfibroadenoma of the breast (reference benign group), or from both theDCIS group and the benign group, wherein said reference panel isprepared by transforming salivary proteins in saliva from individuals ofeach said reference groups by (a) digesting and isotopic labeling saidsalivary proteins to form labeled-peptides, (b) performing liquidchromatography tandem mass spectrometry on said labeled peptides togenerate fragmentation ions, (c) inputting said fragmentation ionspectra into a computer; and (d) said computer performing a computeraided comparison of said fragmentation ion_spectra to a protein sequencedatabase, thereby identifying and characterizing the protein biomarkersfrom each said group; and (c) determining from said comparison of saidconcentration values a diagnosis of the likelihood of the presence oroccurrence of a breast tumor in the test subject by determining whetherthe test concentration values of each protein biomarker in the salivasample from the test subject are significantly the same as or differentfrom the mean concentration values for each said protein biomarker inthe reference control group, the reference DCIS group or the referencebenign group, wherein the concentration value of at least said firstprotein biomarker in said reference panel is significantly different inthe saliva of said reference DCIS group and/or in the saliva of saidreference benign group, relative to the respective level of each saidfirst protein biomarker in the saliva of said reference control group,wherein the concentration values are significantly different at a levelin the range of p<0.05 to p<0.0001.
 2. The method of claim 1, wherein atleast said first protein biomarker is selected from the group consistingof CAH6 (Carbonic anhydrase VI), K2C4 (Cytokeratin 4), CYTA (CystatinA), FABP4 (Epid. Fatty acid binding prot.), IGHGI (Ig gamma-1 chain Cregion), TRFL (Lactoferrin), BPIL1 (Bact. Perm.-increasing prot.-1),CYTC (Cystatin C), HPT (Haptoglobin), PROF1 (Profilin-1), ZA2G(Zinc-alpha-2-glycoprotein), and, in (c), said determining comprisesdetermining from said comparison a diagnosis of likelihood of thepresence or occurrence of DCIS in the test subject.
 3. The method ofclaim 1, wherein at least said first protein biomarker is selected fromthe group consisting of ENOA (Alpha enolase), IGHA2 (Ig alpha-2 chain Cregion), IL-1 ra (Interleukin-1 receptor antagonist protein precursor),S10A7 (S100 calcium-binding protein A7), SPLC2 (Short palate, lung andnasal epith Carc. assoc. protein 2), and, in (c), said determiningcomprises determining from said comparison a diagnosis of likelihood ofthe presence or occurrence of fibroadenoma in the test subject.
 4. Themethod of claim 1, wherein, in (a), said measuring comprises analyzingsaid sample comprising salivary proteins by isotopic labeling and liquidchromatography tandem mass spectrometry to characterize said proteins.5. The method of claim 4, wherein said isotopic labeling comprisesdifferential isotopic labeling of salivary proteins of at least firstand second saliva samples.
 6. The method of claim 1, wherein, in (b),said comparing yields a comparison result in which the concentrationvalue of at least said first protein biomarker is a significant changerelative to the mean concentration value of the respective protein inthe control group of the reference panel, wherein a significant changeis determined by a p-value in the range of <0.05 to <0.0001.
 7. Themethod of claim 1, wherein said saliva sample is a first saliva samplefrom said test subject, and, in (a), the set of test data is a first setof test data, and the method further comprises: (d) obtaining a secondsaliva sample from said subject subsequent to said first sample; (e)measuring the concentration of at least said first protein biomarker inthe second saliva sample, to provide a second set of test datacomprising a second concentration value of each said protein biomarkerin said saliva sample; (f) comparing the second set of test data to saidreference panel; (g) determining from the result of said comparing adiagnosis of likelihood of the presence or occurrence of either DCIS orbenign fibroadenoma of the breast in the test subject.
 8. The method ofclaim 7, further comprising (h) comparing said second set of test datato said first set of test data to determine whether a difference in theconcentration value of at least said first protein biomarker existsbetween said first and second sets of test data for said test subject.9. The method of claim 8, wherein said first saliva sample is obtainedprior to surgical removal of cancerous breast tissue from said subject.10. The method of claim 9, wherein said test subject has receivedtherapeutic treatment for breast cancer prior to obtaining said secondsaliva sample.
 11. The method of claim 10 wherein, in (g), determining acomparative decrease in at least said first protein biomarkerconcentration in said second sample relative to said first sampleindicates that the therapeutic treatment is effective.
 12. A method ofdiagnosing the likelihood of the presence or occurrence of a breasttumor in a test subject, the method comprising: 1) producing a referencepanel comprised of at least one protein biomarker, wherein saidbiomarker is identified from saliva samples of individuals that aretumor free (reference control group); diagnosed with DCIS (ductalcarcinoma in situ of the breast (reference DCIS group)); or diagnosedwith benign fibroadenoma (reference benign group); wherein saidbiomarkers are identified and characterized by: (a) digesting saidbiomarkers to form peptides, and isotopic labeling said peptides to formisotopically labeled-peptides; (b) performing liquid chromatographytandem mass spectrometry on said isotopically labeled-peptides togenerate fragmentation ions; and (c) inputting said fragmentation iondata into a computer, and transforming said fragmentation ion data intoprotein sequences; and (d) comparing said sequences to protein databasesto identify said protein biomarkers, wherein said identified biomarkersare selected from the group consisting of CAH6 (Carbonic anhydrase VI),K2C4 (Cytokeratin 4), CYTA (Cystatin A), FABP4 (Epid. Fatty acid bindingprot.), IGHGI (Ig gamma-1 chain C region), TRFL (Lactoferrin), BPIL1(Bact. Perm.-increasing prot.-1), CYTC (Cystatin C), HPT (Haptoglobin),PROF1 (Profilin-1), ZA2G (Zinc-alpha-2-glycoprotein), ENOA (Alphaenolase), IGHA2 (Ig alpha-2 chain C region), IL-1ra (Interleukin-1receptor antagonist protein precursor), S10A7 (S100 calcium-bindingprotein A7), and SPLC2 (Short palate, lung and nasel epith Carc. assoc.protein 2); 2) electronically storing by a computer mean concentrationvalues for said protein biomarkers (of said reference panel) on anon-transitory computer readable storage device; 3) retrieving said meanconcentrations of said protein biomarkers from said computer readablestorage device; 4) comparing by the computer said mean concentrations ofsaid protein biomarkers to mean concentrations of test proteins, whereinsaid test proteins are comprised of proteins from a saliva sample of atest subject; and 5) determining by said computer from said comparing of(4), a diagnosis of likelihood of the presence or occurrence of a breasttumor in the test subject by determining whether the test concentrationvalues of each protein biomarker in the saliva sample from the testsubject are significantly the same as or different from the meanconcentration values for each said protein biomarker: in the referencecontrol group, the reference DCIS group, or the reference benign group,wherein the concentration value of at least said first protein biomarkerin said reference panel is significantly different in the saliva of saidreference DCIS group and/or in the saliva of said reference benigngroup, relative to the respective level of each said first proteinbiomarker in the saliva of said reference control group, wherein theconcentration values are significantly different at a level in the rangeof p<0.05 to p<0.0001.